CN111611133B - Data center energy consumption management method based on intelligent monitoring - Google Patents
Data center energy consumption management method based on intelligent monitoring Download PDFInfo
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Abstract
The invention discloses a data center energy consumption management method based on intelligent monitoring, which comprises S1, aiming at power equipment of a data center, utilizing a monitoring unit to acquire energy consumption data of each type of power equipment; s2, collecting energy consumption data collected by each monitoring unit by using a data collector, and transmitting the energy consumption data to a monitoring server; s3, configuring the overload alarm threshold value of each power device for the monitoring server; and S4, calculating the load indexes of each power device according to the energy consumption data collected by each monitoring unit and collected by the data collector, respectively judging the magnitude relation between the load indexes of each power device and the corresponding alarm threshold value, and sending alarm information of the power device when the load indexes of the power devices are greater than the alarm threshold value of the power devices. The advantages are that: the energy efficiency of the data center can be improved, the unit service cost of the data center is effectively reduced, and the operation cost is further reduced.
Description
Technical Field
The invention relates to the field of energy consumption management, in particular to a data center energy consumption management method based on intelligent monitoring.
Background
In recent years, with the development of enterprise business and the improvement of the dependence on the development of business by information technology, the investment in the infrastructure construction of information technology is continuously increased, the demand for data centers is also increased, and the expenditure caused by the energy consumption of the data centers becomes a main component of the operation cost related to the information technology.
Currently, large data centers are energy intensive industries. Various types of power equipment of the data center are complex systems formed by a large number of electrical elements, various faults are inevitably generated in the operation process of the data center over the years, the operation efficiency of the power equipment is greatly influenced, the energy consumption loss caused by the faults of the power equipment can account for 10% -40% of the total energy consumption according to statistics, and the data center with low energy efficiency is even higher. Therefore, an efficient energy consumption management method is needed to improve the energy efficiency of the data center, effectively reduce the unit service cost of the data center, and further reduce the operation cost.
Disclosure of Invention
The invention aims to provide a data center energy consumption management method based on intelligent monitoring, so that the problems in the prior art are solved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a data center energy consumption management method based on intelligent monitoring comprises the following steps,
s1, aiming at the power equipment of the data center, acquiring energy consumption data of each type of power equipment by using a monitoring unit;
s2, collecting energy consumption data collected by each monitoring unit by using a data collector, and transmitting the energy consumption data to a monitoring server;
s3, configuring the overload alarm threshold value of each power device for the monitoring server;
s4, calculating load indexes of each power device according to the energy consumption data collected by each monitoring unit and collected by the data collector, respectively judging the magnitude relation between the load indexes of each power device and the corresponding alarm threshold value, and sending alarm information of the power device when the load indexes of the power devices are larger than the alarm threshold value of the power devices;
s5, judging the type of the alarm information of the power equipment, and adopting corresponding processing methods for different types of load overload alarm information to avoid load overload;
and S6, judging whether the current load rate of the data center enters a low-load interval or not according to the load rate of the current switching power supply equipment, if so, closing part of working servers of the data center, and if not, keeping the number of the working servers of the current data center unchanged.
Preferably, the power equipment of the data center comprises high-voltage and medium-voltage power distribution equipment, diesel generator set equipment, switching power supply equipment and redundant battery pack equipment; in step S1, the monitoring unit is used to collect energy consumption data of various types of power equipment, specifically, the energy consumption data is collected
The monitoring unit reads current and voltage data of a meter head of the centralized control console to obtain energy consumption data of high-voltage and medium-voltage distribution equipment;
the monitoring unit reads current and voltage data output by the intelligent communication interface to obtain energy consumption data of the diesel generating set equipment;
the monitoring unit reads direct-current parameter data output by an intelligent module of the switching power supply to acquire energy consumption data of the switching power supply equipment;
and the monitoring unit reads the data of the total voltage and the charge-discharge current output by the intelligent storage battery monitor so as to obtain the energy consumption data of the redundant storage battery set equipment.
Preferably, step S2 is specifically to use an industrial control network CAN to network the data collector and each monitoring unit to collect energy consumption data of each type of power equipment; each monitoring unit sends the acquired energy consumption data to a CAN bus, and a data collector reads the data from the CAN bus; the data collector acquires the energy consumption data acquired by the monitoring unit according to a set period, and transmits the period data to the monitoring server after acquiring the data of one period, and the monitoring server analyzes the data.
Preferably, in step S3, specifically,
setting the load rate H alarm threshold of high and medium voltage distribution equipment and diesel generating set equipment to be 90%;
setting a load rate B alarm threshold of the switching power supply equipment to be 80%;
and setting the load rate C alarm threshold of the redundant storage battery pack equipment to be 85%.
Preferably, in step S4, specifically,
the load indexes of the high-voltage distribution equipment, the medium-voltage distribution equipment and the diesel generating set equipment are load rates H, the load rates H are obtained through calculation of a formula I,
h is S/Se (formula I)
Wherein, S is 1.732 UI; u is line voltage; i is a line current; se is the rated capacity of the transformer;
the load index of the switching power supply equipment is a load rate B, the load rate B is obtained by calculation of a formula II,
b ═ As K-Ax)/As K (formula two)
Wherein, As is the capacity of a single power module of the switching power supply equipment; k is the number of the currently working power modules; ax is the charging capacity of a storage battery of the switching power supply equipment;
the load index of the redundant storage battery pack equipment is a load rate C, the load rate C is obtained through calculation of a formula III,
p ═ Ps ═ n ═ z/Pc (formula three)
Wherein Ps is the available capacity of a single battery module in the redundant battery pack equipment; n is the number of battery modules in the redundant battery pack; z is the utilization coefficient of the redundant storage battery pack equipment; pc is the rated capacity of the redundant battery pack;
and comparing the magnitude relation between the alarm threshold value of each power device and the load rate of each power device, and sending alarm information of the overload of the power device when the load rate of a certain power device is greater than the corresponding alarm threshold value.
Preferably, the overload of the load comprises two situations,
A. overload of the load caused by a power plant failure;
B. overload of load caused by overload work of all currently started work servers due to excessive requests of network users;
then according to the load rate change before and after the alarm information corresponding to the power equipment load overload, the alarm information can be judged to belong to the type of load overload condition, specifically,
if the load rate before and after the alarm information appears has sudden change, namely the load rate breaks through the alarm threshold value in a first set time, judging that the load is overloaded caused by the fault of the power equipment;
if the load rate before and after the alarm information appears does not have sudden change, namely the load rate gradually increases and breaks through the alarm threshold value within the second set time, the judgment is that all the currently started work servers are overloaded due to overload work.
Preferably, aiming at the overload caused by the failure of the power equipment, the warning information can be sent to a maintenance department to maintain the corresponding power equipment;
aiming at the overload caused by the overload work of all the currently started work servers, firstly judging whether a closed standby work server exists or not,
if not, sending the alarm information to an application department for user flow control;
if yes, automatically starting T standby working servers, wherein T is a basic quantity unit for starting the standby working servers each time, and if the standby working servers still receive the alarm information of overload load after being started, continuing to start the standby working servers until the load rate of each power device is recovered to be normal and the alarm information is eliminated; when all the standby working servers are started and still receive the alarm information of overload load, the alarm information is sent to an application department for user flow control.
Preferably, since the switching power supply device is responsible for directly supplying power to the work server in the data center, it can be determined whether the current load rate of the data center enters the low-load interval according to the load rate of the current switching power supply device, specifically,
collecting historical load rate data of a switching power supply load rate B in a certain period to obtain a switching power supply load rate B data set;
determining a low quartile Q in a data set1And Q is1As a low-load interval decision point;
judging the load rate and Q of the current switching power supply equipment1If the load factor of the current switching power supply equipment is less than Q1If the application load of the current data center is low, the T 'working servers can be closed, and T' is a basic quantity unit for closing the working servers each time; and if not, determining that the application load of the current data center is normal.
Preferably, step S6 is followed by the following steps,
if the T' work server is closed, the application load of the current data center is still low, namely the load rate of the current switching power supply equipment is lower than Q1Continuing to close the working server until the load rate of the current switching power supply equipment is not lower than Q1。
The invention has the beneficial effects that: 1. the method and the system can diagnose the power equipment fault in time, improve the operation efficiency of the data center infrastructure and reduce the energy consumption of the data center. 2. According to the invention, the overload working state and the low-load working state of the data center are identified by collecting sufficient, comprehensive and accurate energy consumption data of the data center, so that effective measures are taken, the number of the currently started working servers is adjusted, the operation efficiency of infrastructure of the data center can be improved, and the energy consumption of the data center is reduced. 3. The invention can improve the energy efficiency of the data center, effectively reduce the unit service cost of the data center and further reduce the operation cost.
Drawings
Fig. 1 is a flowchart illustrating a management method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, in the present embodiment, there is provided a data center energy consumption management method based on intelligent monitoring, the management method includes the following steps,
s1, aiming at the power equipment of the data center, acquiring energy consumption data of each type of power equipment by using a monitoring unit;
s2, collecting energy consumption data collected by each monitoring unit by using a data collector, and transmitting the energy consumption data to a monitoring server;
s3, configuring the overload alarm threshold value of each power device for the monitoring server;
s4, calculating load indexes of each power device according to the energy consumption data collected by each monitoring unit and collected by the data collector, respectively judging the magnitude relation between the load indexes of each power device and the corresponding alarm threshold value, and sending alarm information of the power device when the load indexes of the power devices are larger than the alarm threshold value of the power devices;
s5, judging the type of the alarm information of the power equipment, and adopting corresponding processing methods for different types of load overload alarm information to avoid load overload;
and S6, judging whether the current load rate of the data center enters a low-load interval or not according to the load rate of the current switching power supply equipment, if so, closing part of working servers of the data center, and if not, keeping the number of the working servers of the current data center unchanged.
In this embodiment, the power equipment of the data center includes high and medium voltage power distribution equipment, diesel generator set equipment, switching power supply equipment and redundant battery pack equipment; in step S1, the monitoring unit is used to collect energy consumption data of various types of power equipment, specifically, the energy consumption data is collected
The monitoring unit reads current and voltage data of a meter head of the centralized control console to obtain energy consumption data of high-voltage and medium-voltage distribution equipment;
the monitoring unit reads current and voltage data output by the intelligent communication interface to obtain energy consumption data of the diesel generating set equipment;
the monitoring unit reads direct-current parameter data output by an intelligent module of the switching power supply to acquire energy consumption data of the switching power supply equipment;
and the monitoring unit reads the data of the total voltage and the charge-discharge current output by the intelligent storage battery monitor so as to obtain the energy consumption data of the redundant storage battery set equipment.
In this embodiment, step S2 is specifically to adopt an industrial control network CAN to network the data collector and each monitoring unit to collect energy consumption data of each type of power equipment; each monitoring unit sends the acquired energy consumption data to a CAN bus, and a data collector reads the data from the CAN bus; the data collector acquires the energy consumption data acquired by the monitoring unit according to a set period, and transmits the period data to the monitoring server after acquiring the data of one period, and the monitoring server analyzes the data.
The reason for adopting the CAN bus transmission mode is as follows: the CAN adopts a differential information transmission mode; the current is ultralow in the standby mode, other nodes on the bus cannot be influenced under the condition that a single node fails, the speed can reach 1MBd, and the electromagnetic interference resistance is ultrahigh.
In this embodiment, step S3 is specifically,
setting the load rate H alarm threshold of high and medium voltage distribution equipment and diesel generating set equipment to be 90%;
setting a load rate B alarm threshold of the switching power supply equipment to be 80%;
and setting the load rate C alarm threshold of the redundant storage battery pack equipment to be 85%.
In this embodiment, step S4 is specifically,
the load indexes of the high-voltage distribution equipment, the medium-voltage distribution equipment and the diesel generating set equipment are load rates H, the load rates H are obtained through calculation of a formula I,
h is S/Se (formula I)
Wherein, S is 1.732 UI; u is line voltage; i is a line current; se is the rated capacity of the transformer; the first formula can calculate the load rates of high-voltage and medium-voltage distribution equipment and can also calculate the load rate of diesel generator set equipment; when calculating high and medium voltage distribution equipment, the line voltage/current refers to the line voltage/current of the distribution equipment; when calculating the diesel genset device, the line voltage/current refers to the line voltage/current of the diesel genset device.
The load index of the switching power supply equipment is a load rate B, the load rate B is obtained by calculation of a formula II,
b ═ As K-Ax)/As K (formula two)
Wherein, As is the capacity of a single power module of the switching power supply equipment; k is the number of the currently working power modules; ax is the charging capacity of a storage battery of the switching power supply equipment;
the load index of the redundant storage battery pack equipment is a load rate C, the load rate C is obtained through calculation of a formula III,
p ═ Ps ═ n ═ z/Pc (formula three)
Wherein Ps is the available capacity of a single battery module in the redundant battery pack equipment; n is the number of battery modules in the redundant battery pack; z is a utilization factor of the redundant battery pack device, for example, when the redundant battery pack device includes two battery modules, z is 0.4; pc is the rated capacity of the redundant battery pack;
and comparing the magnitude relation between the alarm threshold value of each power device and the load rate of each power device, and sending alarm information of the overload of the power device when the load rate of a certain power device is greater than the corresponding alarm threshold value.
In this embodiment, the overload load includes two cases,
A. overload of the load caused by a power plant failure; such overload of loads belongs to rare events; for example, a server overheating due to an air conditioner failure, resulting in a power system overload;
B. overload of load caused by overload work of all currently started work servers due to excessive requests of network users; this type of overload belongs to a non-rare event; overload caused by overload;
then according to the load rate change before and after the alarm information corresponding to the overload of the power equipment appears, it can judge which type the alarm information belongs to, specifically,
if the load rate before and after the alarm information appears has sudden change, namely the load rate breaks through the alarm threshold value within a first set time (a short time, usually less than 30 minutes), the overload of the load caused by the fault of the power equipment is judged;
if the load rate before and after the alarm information appears does not have a sudden change, that is, the load rate gradually increases and breaks through the alarm threshold value within a second set time (a longer time, generally more than 30 minutes), it is determined that all currently started work servers are overloaded due to overload work.
In the embodiment, aiming at the overload caused by the failure of the power equipment, the alarm information can be sent to a maintenance department to maintain the corresponding power equipment;
aiming at the overload caused by the overload work of all the currently started work servers, firstly judging whether a closed standby work server exists or not,
if not, sending the alarm information to an application department for user flow control;
if yes, automatically starting T standby working servers, wherein T is a basic quantity unit for starting the standby working servers each time, such as 5 standby working servers; if the warning information of the overload of the load is still received after the T standby working servers are started, the standby working servers are continuously started until the load rates of the power equipment are recovered to be normal and the warning information is eliminated; when all the standby working servers are started and still receive the alarm information of overload load, the alarm information is sent to an application department for user flow control.
In this embodiment, since the switching power supply device is responsible for directly supplying power to the server in the data center, it can be determined whether the current load rate of the data center enters the low-load interval according to the load rate of the current switching power supply device, specifically,
collecting historical load rate data of a switching power supply load rate B in a certain period to obtain a switching power supply load rate B data set;
determining a low quartile Q in a data set1And Q is1As a low-load interval decision point;
judging the load rate and Q of the current switching power supply equipment1If the load factor of the current switching power supply equipment is less than Q1If the application load of the current data center is low, the T 'working servers can be shut down, wherein T' is a basic quantity unit for shutting down the working servers each time, such as 5 working servers; and if not, determining that the application load of the current data center is normal.
In this embodiment, step S6 is followed by the following steps,
if the T' work server is closed, the application load of the current data center is still low, namely the load rate of the current switching power supply equipment is lower than Q1Continuing to close the working server until the load rate of the current switching power supply equipment is not lower than Q1. After the working server is closed, the working server is reduced, the current load rate gradually rises and is separated from a low-load interval; thereby realizing the function of saving energy.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention provides an energy consumption management method of a data center based on intelligent monitoring, which can diagnose the power equipment fault in time, improve the operation efficiency of infrastructure of the data center and reduce the energy consumption of the data center. According to the energy consumption management method, the overload working state and the low-load working state of the data center are identified by collecting sufficient, comprehensive and accurate energy consumption data of the data center, effective measures are taken, the number of the working servers started at present is adjusted, the operation efficiency of infrastructure of the data center can be improved, and the energy consumption of the data center is reduced. The energy consumption management method can improve the energy efficiency of the data center, effectively reduce the unit service cost of the data center and further reduce the operation cost.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (7)
1. A data center energy consumption management method based on intelligent monitoring is characterized in that: the management method comprises the following steps of,
s1, aiming at the power equipment of the data center, acquiring energy consumption data of each type of power equipment by using a monitoring unit;
s2, collecting energy consumption data collected by each monitoring unit by using a data collector, and transmitting the energy consumption data to a monitoring server;
s3, configuring the overload alarm threshold value of each power device for the monitoring server;
s4, calculating load indexes of each power device according to the energy consumption data collected by each monitoring unit and collected by the data collector, respectively judging the magnitude relation between the load indexes of each power device and the corresponding alarm threshold value, and sending alarm information of the power device when the load indexes of the power devices are larger than the alarm threshold value of the power devices;
s5, judging the type of the alarm information of the power equipment, and adopting corresponding processing methods for different types of load overload alarm information to avoid load overload;
s6, judging whether the current load rate of the data center enters a low-load interval or not according to the load rate of the current switching power supply equipment, if so, closing part of working servers of the data center, and if not, keeping the number of the working servers of the current data center unchanged;
the overload of the load includes two cases in which,
A. overload of the load caused by a power plant failure;
B. overload of load caused by overload work of all currently started work servers due to excessive requests of network users;
then according to the load rate change before and after the alarm information corresponding to the power equipment load overload, the alarm information can be judged to belong to the type of load overload condition, specifically,
if the load rate before and after the alarm information appears has sudden change, namely the load rate breaks through the alarm threshold value in a first set time, judging that the load is overloaded caused by the fault of the power equipment;
if the load rate before and after the alarm information appears does not have mutation, namely the load rate gradually increases and breaks through the alarm threshold value within the second set time, judging that all the currently started work servers are overloaded due to overload work;
aiming at the overload caused by the failure of the power equipment, the warning information can be sent to a maintenance department to maintain the corresponding power equipment;
aiming at the overload caused by the overload work of all the currently started work servers, firstly judging whether a closed standby work server exists or not,
if not, sending the alarm information to an application department for user flow control;
if yes, automatically starting T standby working servers, wherein T is a basic quantity unit for starting the standby working servers each time, and if the standby working servers still receive the alarm information of overload load after being started, continuing to start the standby working servers until the load rate of each power device is recovered to be normal and the alarm information is eliminated; when all the standby working servers are started and still receive the alarm information of overload load, the alarm information is sent to an application department for user flow control.
2. The intelligent monitoring-based data center energy consumption management method according to claim 1, wherein: the power equipment of the data center comprises high-voltage and medium-voltage power distribution equipment, diesel generator set equipment, switching power supply equipment and redundant battery pack equipment; in step S1, the monitoring unit is used to collect energy consumption data of various types of power equipment, specifically, the energy consumption data is collected
The monitoring unit reads current and voltage data of a meter head of the centralized control console to obtain energy consumption data of high-voltage and medium-voltage distribution equipment;
the monitoring unit reads current and voltage data output by the intelligent communication interface to obtain energy consumption data of the diesel generating set equipment;
the monitoring unit reads direct-current parameter data output by an intelligent module of the switching power supply to acquire energy consumption data of the switching power supply equipment;
and the monitoring unit reads the data of the total voltage and the charge-discharge current output by the intelligent storage battery monitor so as to obtain the energy consumption data of the redundant storage battery set equipment.
3. The intelligent monitoring-based data center energy consumption management method according to claim 2, wherein: step S2 is specifically that an industrial control network CAN is adopted to carry out networking on the data collector and each monitoring unit so as to collect energy consumption data of various types of power equipment; each monitoring unit sends the acquired energy consumption data to a CAN bus, and a data collector reads the data from the CAN bus; the data collector acquires the energy consumption data acquired by the monitoring unit according to a set period, and transmits the period data to the monitoring server after acquiring the data of one period, and the monitoring server analyzes the data.
4. The intelligent monitoring-based data center energy consumption management method according to claim 3, wherein: in step S3, specifically, the step,
setting the load rate H alarm threshold of high and medium voltage distribution equipment and diesel generating set equipment to be 90%;
setting a load rate B alarm threshold of the switching power supply equipment to be 80%;
and setting the load rate P alarm threshold of the redundant storage battery pack equipment to be 85%.
5. The intelligent monitoring-based data center energy consumption management method according to claim 4, wherein: in step S4, specifically, the step,
the load indexes of the high-voltage distribution equipment, the medium-voltage distribution equipment and the diesel generating set equipment are load rates H, the load rates H are obtained through calculation of a formula I,
h is S/Se (formula I)
Wherein, S is 1.732 UI; u is line voltage; i is a line current; se is the rated capacity of the transformer;
the load index of the switching power supply equipment is a load rate B, the load rate B is obtained by calculation of a formula II,
b ═ As K-Ax)/As K (formula two)
Wherein, As is the capacity of a single power module of the switching power supply equipment; k is the number of the currently working power modules; ax is the charging capacity of a storage battery of the switching power supply equipment;
the load index of the redundant storage battery pack equipment is a load rate P, the load rate P is obtained through calculation of a formula III,
p ═ Ps ═ n ═ z/Pc (formula three)
Wherein Ps is the available capacity of a single battery module in the redundant battery pack equipment; n is the number of battery modules in the redundant battery pack; z is the utilization coefficient of the redundant storage battery pack equipment; pc is the rated capacity of the redundant battery pack;
and comparing the magnitude relation between the alarm threshold value of each power device and the load rate of each power device, and sending alarm information of the overload of the power device when the load rate of a certain power device is greater than the corresponding alarm threshold value.
6. The intelligent monitoring-based data center energy consumption management method according to claim 1, wherein: because the switching power supply equipment is responsible for directly supplying power to the working server in the data center, whether the current load rate of the data center enters a low-load interval can be judged according to the load rate of the current switching power supply equipment, specifically,
collecting historical load rate data of a switching power supply load rate B in a certain period to obtain a switching power supply load rate B data set;
determining in a data setLow quartile Q1And Q is1As a low-load interval decision point;
judging the load rate and Q of the current switching power supply equipment1If the load factor of the current switching power supply equipment is less than Q1If the application load of the current data center is low, the T 'working servers can be closed, and T' is a basic quantity unit for closing the working servers each time; and if not, determining that the application load of the current data center is normal.
7. The intelligent monitoring-based data center energy consumption management method according to claim 6, wherein: step S6 is followed by the following steps,
if the T' work server is closed, the application load of the current data center is still low, namely the load rate of the current switching power supply equipment is lower than Q1Continuing to close the working server until the load rate of the current switching power supply equipment is not lower than Q1。
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Address after: No. 588, Yingbin Avenue, Wucheng District, Jinhua City, Zhejiang Province Patentee after: Mo Yuchang Address before: 362021 No. 269 North China Road, Fengze District, Quanzhou City, Fujian Province Patentee before: Mo Yuchang |